Mahjuri

Mahjuri — CS2 Stats

76561198026801107[U:1:66535379]Steam profile ↗✓ No bans

238Tracked matches79%Win rate2020Tracked since
1,815Hours in CS16Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating10,538Blue band · top ~52% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,538 -395 27 Aug – 20 Oct · 3 days played
10,53811,631peak 11,63127 Aug20 Oct
11,631Peak Premier in tracked matches
42Days played since 2026-08-25

Premier CS Rating

  • 1,093 below peak (11,631)
  • Next: Purple band at 15,000 — 4,462 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate40.0%42.0%44.4%4.4% short
Shot accuracy19.2%9.6%11.9%above
Kill/death ratio0.840.981.030.19 short
Match win rate42.2%43.8%45.2%3.0% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMahjuriPREMIER10,538 · Blue bandcsdb.gg/stats

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Performance scores

Aim76
Positioning60
Utility33

0–100 skill scores via Leetify.

Recent form

HOT70–25–5Last 10070%Win rateWWWWLLWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +2.9pp headshot accuracy · +28ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 14%
  • Avg reaction 611ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 559ms

Last 20

  • 14–4–2 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 545ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.5 against its own average).

Aim7.6
Utility3.3
Positioning6.0
Opening Duels1.6
Clutch3.2

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 84% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.6
Positioning6.0
Utility3.3
Mechanics7.2
Opening Duels2.0
Win Impact10.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time544ms−9ms
first ⅓ avg 553ms → last ⅓ avg 544ms
Headshot accuracy10.7%−1.9%
first ⅓ avg 12.6% → last ⅓ avg 10.7%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.14Best match rating · 13–4 · anubis, 14 Oct →
27%Best headshot accuracy · 10–13 · nuke, 14 Sept →
391msFastest reaction time · 13–11 · nuke, 10 Oct →
13–0Biggest win · anubis, 16 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W4Current streak
7–1In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 84% over 19mirageWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
anubisS2014–670%-0.01
cacheS1916–384%-0.01
ancientS1812–667%-0.02
nukeS1611–569%-0.02
infernoS1510–567%-0.02
dust2S54–180%0.04
mirageC52–340%-0.04
vertigo—10–10%-0.02
boulder—11–0100%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,838Lifetime kills
0.84K/D
2,282Matches
42.2%Match win rate
40.0%Headshot %
19.2%Shot accuracy · Top 5% of Blue band
3,639MVPs
993Hours (in match)
1,964Bombs planted
382Bombs defused

Most-used weapons

Lifetime map wins

2,132inferno
1,371nuke
1,164dust2
939train
491cbble
313vertigo
51safehouse
47lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

143Matches
45%Win rate
0.83Avg K/D
65.0ADR
34%Headshot %

Clutches & streaks

36%1v1 clutch win
13%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke1275%1.0114.1
Inferno1155%0.7810.3
Ancient1050%0.9211.3
Anubis714%0.599.4
Cache333%0.8620.7
Mirage10%0.699.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.4%Headshot accuracy
39.5%Accuracy (enemy spotted)
39.3%Spray accuracy
82.4%Counter-strafing
9.4°Preaim
538msReaction time
41.3%T opening success
34.7%CT opening success
0.22Enemies flashed / flash
9.7%Flash assists
10.08HE damage / grenade
1.44Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.446% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2203 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.7366% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–60.0718%4 Nov →
dust213–60.0112%3 Nov →
dust213–40.0826%3 Nov →
dust213–10.056%1 Nov →
anubis3–13-0.028%28 Oct →
ancient9–13-0.0911%28 Oct →
cache13–5-0.0110%25 Oct →
ancient13–8-0.0413%25 Oct →
nuke13–90.0414%25 Oct →
ancient13–10.042%24 Oct →
cache13–5-0.0621%24 Oct →
inferno12–12-0.027%20 Oct →
cache13–100.068%20 Oct →
nuke13–10.025%18 Oct →
ancient13–10.046%18 Oct →
inferno1–130.004%17 Oct →
ancient13–2-0.0310%17 Oct →
anubis13–40.1410%14 Oct →
nuke1–13-0.1010%14 Oct →
ancient12–120.0210%13 Oct →
anubis13–110.017%13 Oct →
nuke13–11-0.0213%11 Oct →
ancient13–2-0.016%11 Oct →
cache13–2-0.098%11 Oct →
nuke13–11-0.039%10 Oct →
anubis13–10-0.0211%10 Oct →
inferno13–7-0.064%10 Oct →
anubis2–13-0.0310%9 Oct →
inferno6–00.0327%9 Oct →
mirage5–13-0.0812%9 Oct →
cache13–11-0.089%8 Oct →
cache8–1-0.0720%6 Oct →
ancient12–12-0.017%6 Oct →
anubis13–5-0.019%6 Oct →
mirage2–13-0.018%4 Oct →
inferno1–13-0.0326%4 Oct →
ancient13–8-0.023%3 Oct →
nuke13–4-0.0524%3 Oct →
inferno13–90.0321%3 Oct →
cache4–130.0118%3 Oct →
anubis13–8-0.048%3 Oct →
cache13–20.1019%2 Oct →
mirage8–3-0.007%2 Oct →
anubis13–7-0.015%2 Oct →
ancient13–20.035%2 Oct →
ancient13–8-0.0410%28 Sept →
inferno13–90.0411%27 Sept →
vertigo12–12-0.0211%23 Sept →
nuke13–50.008%19 Sept →
inferno13–7-0.0714%18 Sept →
cache6–13-0.045%18 Sept →
anubis13–60.0417%18 Sept →
anubis13–00.117%16 Sept →
nuke10–13-0.0427%14 Sept →
cache13–10-0.034%12 Sept →
nuke6–13-0.039%12 Sept →
anubis13–10-0.0411%12 Sept →
ancient13–3-0.040%12 Sept →
inferno13–8-0.0313%12 Sept →
nuke13–20.0512%11 Sept →
anubis13–7-0.015%11 Sept →
ancient13–10.093%10 Sept →
cache9–13-0.0622%10 Sept →
nuke13–80.0315%6 Sept →
anubis9–13-0.0314%6 Sept →
inferno13–3-0.0712%5 Sept →
nuke13–110.037%5 Sept →
inferno0–13-0.0814%5 Sept →
anubis6–10-0.0325%5 Sept →
ancient5–13-0.0613%4 Sept →
ancient6–13-0.0924%3 Sept →
nuke13–3-0.047%3 Sept →
anubis13–100.0412%3 Sept →
cache13–9-0.057%3 Sept →
boulder13–9-0.0016%2 Sept →
dust27–13-0.0314%2 Sept →
mirage13–2-0.0518%2 Sept →
inferno13–2-0.008%1 Sept →
anubis13–3-0.0214%1 Sept →
cache13–60.0315%31 Aug →
cache13–70.014%30 Aug →
inferno13–30.0316%30 Aug →
nuke13–80.0211%30 Aug →
mirage10–13-0.049%29 Aug →
ancient12–12-0.0711%29 Aug →
nuke6–13-0.0411%29 Aug →
inferno8–130.0222%29 Aug →
cache13–60.0522%29 Aug →
anubis13–9-0.056%29 Aug →
ancient13–11-0.0415%28 Aug →
ancient13–5-0.034%28 Aug →
anubis13–10-0.0515%28 Aug →
nuke14–16-0.0810%28 Aug →
inferno13–4-0.056%27 Aug →
anubis6–13-0.0310%27 Aug →
cache13–60.0111%27 Aug →
cache13–110.0212%27 Aug →
cache13–10.0313%27 Aug →
cache13–60.0115%26 Aug →
anubis4–13-0.077%25 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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